Perform advanced data analysis, feature engineering, and exploratory analytics using Python.
Develop, validate, and deploy predictive and machine learning models.
Design and implement statistical forecasting and time-series models.
Build geospatial analytics and location-based modelling solutions.
Apply model explainability techniques and communicate insights to business stakeholders.
Develop scalable analytical solutions using Databricks and Azure.

🎯 Requirements

Statistical Modelling, Forecasting & Time-Series
Python programming for data science
SQL for analytics
Databricks, Spark / PySpark on Azure
Geospatial analytics (GeoPandas/Shapely preferred)
Model Explainability

🎁 Benefits

Open, inclusive culture valuing diversity
Clear career advancement with no forced hierarchy
Opportunity to work with global banks, energy & insurance clients
Strong learning and growth opportunities
Collaborative, high-impact environment

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot